Boost Grafana Projects with Vollna's Tools

TITLE: AWS Multi-Region Database Architecture with Auto Failover, PITR &
Disaster Recovery (MariaDB/PostgreSQL)

FULL PROJECT DESCRIPTION: We are hiring an experienced AWS Cloud
Architect / DevOps Engineer to design, implement, and document a highly
available, scalable, and fault-tolerant multi-region database system.

The system must support MariaDB and PostgreSQL, with advanced features
like global replication, automatic failover, disaster recovery, and
hybrid integration with an existing Liquid Web database.

----------------------
PROJECT REQUIREMENTS
----------------------

1. MULTI-REGION DATABASE ARCHITECTURE

- Databases: MariaDB and PostgreSQL
- Regions: • India (Primary) • Singapore • United States • One
additional backup/safe region
- Setup: • Cross-region replication • Read replicas in multiple
regions • Optimized latency routing

2. HIGH AVAILABILITY & FAILOVER

- Automatic failover mechanism
- Region-level failover handling
- Zero/minimal downtime switching
- Health checks and auto recovery
- DNS-based or application-based routing (Route53 or equivalent)

3. BACKUP & RECOVERY (CRITICAL)

- Point-In-Time Recovery (PITR) using transaction logs
- Backup frequency: near real-time (log-based, not full dump every minute)
- Automated snapshots
- Retention policy (as required)
- Disaster Recovery Plan: • RTO (Recovery Time Objective) • RPO
(Recovery Point Objective)

4. HYBRID DATA SYNC (AWS + LIQUID WEB)

- Current system is running on Liquid Web database
- Requirements: • Continuous or scheduled replication from Liquid Web
→ AWS • AWS will act as primary read system for clients • Secure
connection (VPN / SSH / Private Link) • Conflict resolution strategy
(if bi-directional sync required) • ETL or CDC (Change Data Capture)
approach

5. MONITORING & ALERTING

- Monitoring tools: • AWS CloudWatch / Grafana / Prometheus
- Alerts: • Replication lag • Failover events • Downtime / instance
health
- Logs and audit tracking

6. SECURITY

- VPC isolation
- IAM roles and policies
- Encryption: • Data at rest • Data in transit (SSL/TLS)
- Secure database access

7. DOCUMENTATION & TRAINING

- Complete architecture diagram
- Step-by-step deployment guide
- SOP (Standard Operating Procedures)
- Failover & recovery manual
- Live training session for internal team

------------------------------------------------------------
DELIVERABLES
------------------------------------------------------------
- Fully working multi-region database system - Automated
failover and disaster recovery setup - Backup and PITR
system - Liquid Web integration and sync pipeline -
Monitoring dashboard - Complete documentation - Knowledge
transfer session

------------------------------------------------------------



- “Backup every minute” will be implemented using PITR (transaction
logs)
- Multi-master setup is complex; preferred architecture: • Primary +
Read Replicas
- Hybrid sync must be carefully designed to avoid data conflicts

------------------------------------------------------------------------

Position Information:Cloud-Native SRE / Operations Engineer
Core Objective: To ensure the stable operation of supply chain optimization systems in production environments (North America/AWS, Europe/DigitalOcean), providing emergency response and technical support.

Key Responsibilities
- Emergency Response & Incident Management
Maintain on-call availability to rapidly respond to production environment failures in North America and Europe (including cloud resources, container clusters, databases, networks, and monitoring alerts) to ensure business continuity.
Locate and resolve production issues across AWS/DigitalOcean platforms, Docker containers, and K8s clusters; produce Root Cause Analysis (RCA) reports and improvement plans.

Multi-tenant Environment Operations
Manage the tenant lifecycle within a multi-tenant production model, including manual execution of tenant creation and configuration changes via PostgreSQL (without a management GUI).

Ensure data security and regulatory compliance through physical data isolation; perform regular resource audits and optimize configurations to maintain overall system stability.

Public & Private Cloud Deployment Management
Maintain public cloud resources on AWS and DigitalOcean, executing deployment, scaling, backup, and disaster recovery (DR) operations.

Support private cloud deployment requirements, managing Docker orchestration, K8s cluster maintenance, and ensuring environment consistency for production-grade delivery.

Client Technical Communication & Support
Communicate fluently in English with technical teams to provide technical consulting, troubleshooting collaboration, and operations training.

Prepare English technical documentation, including production manuals and troubleshooting guides, to empower client self-service capabilities.

Optimization & Automation
Build and maintain production monitoring systems (e.g., Prometheus, Grafana), configuring precise alerting rules for proactive fault detection.

Monitor performance metrics (CPU, Memory, Disk, DB connections) to identify bottlenecks and implement optimization strategies.

Maintain Cloud CI workflows and drive automation (scripting, alert rule optimization, CI/CD iteration) to reduce manual operational risks.

Compliance & Security
Adhere strictly to production change management processes, developing contingency plans before any operation to ensure safety and controllability.

Implement security measures such as data backups and access control in alignment with overseas data compliance requirements.

Job Requirements
(A) Hard Requirements
Education: Bachelor’s degree or above in Computer Science or related fields.
Experience: 3+ years of experience in production-level cloud platform and containerized operations.
Technical Skills:
Proficient in AWS and DigitalOcean production environments (EC2/ECS, Cloud Storage, Load Balancing, Security Groups, etc.);
Expertise in PostgreSQL production maintenance, including self-hosted vs. managed services, backup/recovery, performance tuning, and the ability to independently perform SQL operations for tenant management.
Strong capability in Docker orchestration, image management, and K8s cluster deployment, resource scheduling, and troubleshooting.
Solid Linux foundation with proficiency in Shell/Python scripting for automation.
Experience with Huawei Cloud DevCloud or similar CI services; able to maintain and optimize production CI/CD pipelines.
Familiarity with monitoring tools (Prometheus, Grafana, Zabbix) and experience in designing alerting logic.
Language: Fluent in English and Chinese (Speaking, Listening, Reading, Writing) as a working language
AI usage: fluent in using agentic AI to automate workflows.

(B) Soft Skills
Resilience to handle on-call shifts and high-pressure production emergencies.
Strong customer service mindset and cross-cultural communication skills for collaborating across time zones.
Risk-aware mindset: Strict adherence to change management and proactive risk assessment.
Knowledge of data compliance (e.g., GDPR) is highly preferred.

Preferred Qualifications (Plus)
Certifications: AWS Certified Solutions Architect, CKA/CKAD, or PostgreSQL professional certifications.
Experience with Private Cloud (e.g., OpenStack) deployment and maintenance.
Familiarity with Infrastructure as Code (IaC) tools like Ansible or Terraform.
Background in enterprise-level multi-tenant SaaS products.

• Please list any certifications related to this project
• Describe your recent experience with similar projects

We are seeking an experienced engineer to design, secure, and optimize networking within a containerized environment using Kubernetes and/or Red Hat OpenShift.

The project focuses on advanced networking, cybersecurity hardening, and exploring post-quantum security readiness for modern cloud-native workloads.

Scope of Work
1. Kubernetes / OpenShift Networking
Configure and optimize cluster networking (CNI, ingress/egress)
Implement network segmentation and isolation policies
Configure service mesh (e.g., Istio or OpenShift Service Mesh)
Troubleshoot latency, DNS, and service communication issues
2. Cybersecurity Hardening
Implement and enforce Kubernetes Network Policies
Secure API server access and RBAC configurations
Configure secrets management (Vault, KMS, etc.)
Harden cluster nodes and container runtime
Perform vulnerability assessments and remediation
3. Post-Quantum Security (PQC) Exploration
Research and recommend integration strategies for Post-Quantum Cryptography
Evaluate quantum-resistant algorithms (e.g., CRYSTALS-Kyber, Dilithium)
Assess impact on TLS, VPNs, and service-to-service encryption
Provide a roadmap for future PQC adoption in Kubernetes environments
4. Monitoring & Observability
Implement monitoring (Prometheus, Grafana)
Set up logging and alerting for network/security events
Analyze traffic patterns and detect anomalies
5. Documentation & Knowledge Transfer
Provide clear architecture diagrams and documentation
Deliver setup guides and best practices
Conduct walkthrough or handoff session
Deliverables
Fully configured and secured Kubernetes/OpenShift networking setup
Implemented security policies and hardening measures
Post-quantum security assessment + roadmap
Monitoring and observability stack
Complete documentation

NO AGENCIES. INDEPENDENT FREELANCERS ONLY.
We're looking for a hands-on, security-focused Infrastructure Engineer who can actually write code to join a fast-growing AI video platform on a contract basis.

READ THIS FIRST: This role requires real software engineering skills. You will write Python daily. You will debug production systems. You will read and reason through application code to identify vulnerabilities. If your security experience is limited to running scanners, writing reports, or configuring dashboards without writing the code behind them, this is not the right fit.

You'll own "Security by Design" across the core platform, ensuring AWS infrastructure, Kubernetes clusters, and data stores are hardened against evolving threats while maintaining the performance required for real-time AI video generation at scale.

This is not an audit-and-report role. You'll be hands-on: writing automation, embedding security into CI/CD, hardening production systems, and leading incident response with root cause analysis.

Key Responsibilities
• Write Python scripts and tools to automate security operations, dependency upgrades, evidence collection, and vulnerability remediation. Expect to ship code weekly, not monthly.
• Design and implement security controls across AWS (VPCs, IAM, Security Groups) and Kubernetes (EKS). Enforce least-privilege access, network segmentation, and runtime security policies.
• Own the full vulnerability management lifecycle: scanning, prioritization, remediation, and verification across services and dependencies.
• Embed security into CI/CD pipelines: container image scanning, software composition analysis (SCA), and automated security gates that block non-compliant code before production.
• Use Terraform or equivalent IaC tooling to provision and manage infrastructure with security checks baked into the deployment pipeline.
• Build and maintain detection rules, alerting pipelines, and monitoring dashboards for real-time visibility. Lead technical incident response with documented runbooks.
• Secure data pipelines handling user-uploaded media, AI model assets, and generated content: access controls, encryption at rest/in transit, backup integrity, and audit logging.
• Support SOC 2, ISO 27001, and GDPR compliance by automating evidence collection, maintaining security policies, and preparing for audits.
• Define and test backup/recovery procedures to meet RTO/RPO targets. Contribute to business continuity planning with focus on security during failure and restoration scenarios.

Requirements
• 3+ years in infrastructure security, SRE, or DevOps in production environments.
• Strong Python skills. You will be asked to write code, debug existing systems, and reason through unfamiliar codebases during the screening process. This is non-negotiable.
• Hands-on experience securing AWS services and managing containerized workloads in Kubernetes (EKS).
• Strong Terraform or equivalent IaC experience.
• Working knowledge of CI/CD pipeline security and container supply chain integrity.
• Experience with monitoring/alerting tools (Prometheus, Datadog, Grafana, ELK, or CloudWatch).
• Strong written communication for runbooks, findings, and remediation documentation.
• Ability to thrive in a fast-paced, high-autonomy environment where priorities shift rapidly.
• Business-level English (written and spoken).

Nice to Have
• Experience securing infrastructure for large-scale GenAI workloads (GPU clusters, CUDA workflows).
• Service mesh security (Istio, Linkerd).
• Container supply chain tooling (Trivy, Snyk, Cosign).
• Prior experience at a high-growth startup or AI-native org.
• CKS, AWS Security Specialty, or equivalent certifications.

• Describe a Python script or tool you personally built to solve a real infrastructure or security problem in production. Be specific (Ai-written answers will not be considered)
• Confirm you are an independent freelancer applying for yourself. No agencies, no subcontracting, no substitutions.
• This is a stable, full-time remote position, Monday - Friday, 9 AM to 5 PM PST timezone. Confirm you can commit to this schedule and timezone.
• Describe a project where you personally hardened a production AWS or Kubernetes environment. What was broken, what did you fix, what tools did you use?
• Our screening process includes a brief video submission where you walk through your experience on camera. Are you willing to complete this step?

Assembly Software is the leading provider of case management solutions for law firms, serving more than 2,500 firms and 40,000 users across our Needles, Needles Neos, and TrialWorks platforms. We are seeking an experienced Systems Engineer to join our Professional Services team on a contract basis. This is a meaningful, hands-on engagement with ongoing scope, working directly with customers and internal teams to deliver high-quality technical solutions.
Scope of Work
You will serve as a technical resource within our Professional Services team. Core responsibilities include:
• Supporting customer onboarding by building and delivering tailored technical solutions on the Assembly Software platform.
• Serving as a customer-facing technical point of contact, answering questions and resolving technical issues during and after implementation.
• Writing, maintaining, and troubleshooting automation scripts in Python, .NET, PowerShell, or similar languages.
• Analyzing logs and stack traces to diagnose and resolve technical issues efficiently.
• Deploying, configuring, and maintaining customer environments within Azure and other cloud platforms.
• Implementing and managing Infrastructure as Code using Terraform or comparable tools.
• Working with container orchestration platforms including Kubernetes (EKS, AKS, GKE).
• Using AI-assisted coding tools (Claude, GitHub Copilot, or similar) to accelerate delivery and improve output quality.
• Collaborating with internal development and engineering teams to improve deployment processes and system reliability.
• Participating in incident response as needed.

Required Skills and Experience
• 2 to 4 years of experience in Systems Engineering, Implementation Engineering, DevOps, or a comparable technical role.
• Proven ability to write and troubleshoot scripts in Python, PowerShell, .NET, or similar.
• Solid SQL and relational database experience.
• Hands-on experience with REST APIs.
• Proficiency with at least one major cloud platform (Azure preferred; AWS or GCP also considered).
• Understanding of security best practices in cloud environments.
• Experience using AI-assisted development tools.
• Strong written and verbal communication skills, including the ability to explain technical concepts clearly to non-technical customers.
• Demonstrated ability to work independently, manage time effectively, and deliver reliably in a remote engagement.

Preferred Qualifications
• Cloud certifications (AWS Solutions Architect, Azure Administrator, GCP Associate Cloud Engineer, or similar).
• Experience with containerization technologies including Docker and Kubernetes.
• Hands-on experience with Infrastructure as Code tools such as Terraform, CloudFormation, or Pulumi.
• Familiarity with CI/CD pipelines and DevOps practices.
• Experience with monitoring and observability platforms (Datadog, New Relic, Prometheus, Grafana).
• Familiarity with additional scripting languages such as Bash or Go.
• Prior experience in a SaaS environment.
• Familiarity with the legal technology industry.

Engagement Details
• 100% remote. You can work from anywhere with a reliable internet connection.
• Contract or freelance engagement. This is not a full-time employment offer.
• Expected workload: part-time to full-time hours depending on project volume and mutual fit.
• Hourly rate: $45 to $70 per hour depending on experience and qualifications.
• Ongoing engagement with potential for long-term continuity based on performance and project need.
• Strong performers may be considered for conversion to a full-time role over time.

To Apply
Submit a proposal that includes your relevant experience, a brief summary of a technical implementation project you have led or contributed to, your hourly rate, and your availability. Applications that do not include a project example will not be considered.

About Assembly Software
Assembly Software is the leading provider of case management solutions for law firms. Through our three brands, Needles, Needles Neos, and TrialWorks, we have built a multi-decade legacy and the largest user base in the industry. We are a modern SaaS organization with an entrepreneurial culture, a strong foundation, and a compelling vision for innovation. We take pride in bringing talented people, including contractors, into work that genuinely matters.

Assembly Software is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state,

We are looking for an experienced developer to build a scalable monitoring dashboard platform using Grafana and Zabbix as core data sources.
This is not a standard dashboard setup role. The project focuses on creating a modular, extensible solution that can scale across devices, environments, and future client implementations.
Key responsibilities include developing custom dashboard experiences, integrating real-time data, contributing to architecture decisions, and ensuring long-term scalability.
Required skills:


Strong experience with Grafana and Zabbix


Solid front-end skills (HTML, CSS, JavaScript)


Experience with Java for integrations or custom logic


API integration and real-time data handling


Scalable system design and architectural thinking


This is a short-term project with high strategic value, ideal for someone who can combine technical execution with long-term product vision.

We are looking to hire a highly experienced Senior Java Backend Developer for a fixed-term contract to help us debug and stabilize a distributed microservices system.
Our platform is built using Spring Boot, Apache Kafka, and Kubernetes, and we need an expert who can quickly identify and resolve production issues, especially around Kafka message processing and Kubernetes deployments.
This is a hands-on debugging and stabilization role, not a feature development project.
Contract Details
• Type: Fixed-term contract
• Duration: [e.g., 1–3 months]
• Work: Remote
• Start: Immediate
• Availability: Flexible (part-time or full-time depending on candidate)
Responsibilities
• Debug and resolve issues in Spring Boot microservices architecture
• Investigate and fix Apache Kafka issues (consumer lag, duplicate messages, message loss, ordering issues, offset problems)
• Troubleshoot and stabilize Kubernetes deployments (pods, services, scaling, networking, configuration issues)
• Analyze logs, metrics, and traces to identify root causes of production issues
• Improve system reliability, performance, and scalability
• Collaborate with backend and DevOps teams during incident resolution
• Optimize Kafka and Kubernetes configurations

Required Skills (Must-Have)
• Strong experience (5+ years) in Java backend development
• Expert-level knowledge of Spring Boot microservices
• Strong hands-on experience with Apache Kafka (mandatory)
• Strong hands-on experience with Kubernetes (mandatory)
• Experience with Docker and containerized environments
• Strong debugging skills in distributed and production systems
• Good understanding of event-driven architecture
• Experience with monitoring tools (Prometheus, Grafana, ELK stack, etc.)

Nice to Have
• AWS or other cloud platforms
• CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI)
• Experience in fintech or high-scale systems
• Service mesh (Istio, Linkerd)

F𝘂𝗹𝗹-Stack 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿𝘀 (𝗔𝗹𝗴𝗼 𝗧𝗿𝗮𝗱𝗶𝗻𝗴) — 𝗛𝗶𝗿𝗶𝗻𝗴 𝗡𝗼𝘄
Secret Weapon Trading Solution Pvt. Ltd. is expanding the team for live trading systems, backtesting engines, and broker integrations.
𝗠𝘂𝘀𝘁-𝗛𝗮𝘃𝗲𝘀 (𝟮+ 𝘆𝗲𝗮𝗿𝘀)
• Strong Python (pandas / NumPy) or C/C++
• Professional User Interfaces ( NextJs preferred )
• Cloud Infrastructure ( AWS Preferred )
• Stock Market Basics: OHLCV, options basics, order types, slippage, latency, risk
• Broker APIs: Zerodha / Upstox / Dhan / Angel One / IBKR (or similar)
• Backtesting & research: vectorbt / backtrader / Zipline (or custom), TA-Lib / ta, statistics
• Databases: PostgreSQL / TimescaleDB, InfluxDB, Redis
• Services & tooling: FastAPI, Docker, Git, CI/CD, Linux, logging / monitoring
• Reliability architecture: idempotent order flows, reconciliation, state machines, throttling, rate limits
• Security & compliance basics; NDA / IP-safe workflows, SEBI Algo Trading Rules

𝗡𝗶𝗰𝗲 𝘁𝗼 𝗛𝗮𝘃𝗲 (Optional)
• Message queues (RabbitMQ / Kafka / Celery), caching patterns
• Strategy packaging, parameter hot-reload, paper/live switch
• Telemetry (Prometheus / Grafana), Telegram / Slack bots

𝗪𝗵𝗮𝘁 𝗬𝗼𝘂’𝗹𝗹 𝗗𝗼
• Build & maintain live trading modules (entries / exits, OMS, risk)
• Create robust backtests & walk-forward validations
• Integrate multiple brokers & market data vendors
• Write production-grade, tested code with clear logs & docs
‌
𝗥𝗼𝗹𝗲: Full-Time - Remote (IST overlap preferred)
𝗖𝗼𝗺𝗽𝗮𝗻𝘆: Secret Weapon Trading Solution Pvt. Ltd.

ZEIL is on a mission to become New Zealand’s most loved job marketplace, and to do that we need incredible talent. Talent that’s driven by a shared desire of becoming the best and
working with the best. We embrace the rich diversity of Aotearoa, building teams that reflect varied cultures and backgrounds. As helpful disruptors, we celebrate progress and advocate for the success of our members. At ZEIL, we value new perspectives and believe in making a meaningful impact. If you’re passionate about growth and inclusivity, we encourage you to join our journey.

Mō Te Tūranga – About The Role
We’re looking for a Senior Software Engineer with a platform engineering focus to lead the architecture, reliability, and evolution of ZEIL’s cloud infrastructure and developer experience. This role sits at the intersection of infrastructure, software design, and engineering enablement — you’ll own the technical direction of our AWS platform, champion infrastructure-as-code, and drive innovation in how our engineers build and ship software. You’ll also be a pioneer in integrating AI and agentic workflows into our engineering processes, helping the team work smarter and move faster. If you care deeply about automation, reuse, cost efficiency, observability, and giving engineers the best tools and platforms to do their work, this role is for you.

What You’ll Do

Own and evolve ZEIL’s AWS infrastructure, with a focus on cost optimisation, reliability, observability, and scalability.
Design and maintain reusable, templated Terraform modules so new services and processes can be spun up quickly using proven, familiar architecture. We aim for 100% of our infrastructure in Terraform.
Architect robust backend and platform systems leveraging deep knowledge of SQS, Lambda, EventBridge, ECS, and broader AWS services.
Build and maintain GitHub Actions pipelines, including reusable workflow templates that streamline build and deployment across multiple repositories.
Champion observability across all services — ensuring comprehensive logging, metrics, tracing, and alerting are built in from day one, not bolted on after.
Drive adoption of AI-powered agentic workflows to help engineers streamline their day-to-day development, testing, and operational tasks.
Build and maintain data ingestion pipelines using TypeScript, Python, and Bash scripting.
Manage and optimise our Docker-based containerised workloads, ensuring consistent and reproducible environments across development, CI, and production.
Collaborate with developers and business stakeholders to understand complex requirements, translating them into scalable platform solutions.
Troubleshoot and resolve advanced technical challenges across infrastructure, CI/CD, and backend systems.
Stay at the forefront of platform engineering, DevOps, and AI tooling best practices, continuously elevating the team’s capabilities.

Key Responsibilities

Infrastructure Ownership: Architect, maintain, and optimise our entire AWS estate. You are the go-to person for infrastructure decisions, cost management, and platform reliability.
Terraform & IaC: Champion 100% infrastructure-as-code. Build and curate a library of reusable Terraform modules that accelerate service creation and enforce consistency.
CI/CD & Developer Experience: Own our GitHub Actions pipelines and reusable workflow templates. Continuously improve build, test, and deployment automation across all repositories.
AI & Agentic Workflows: Lead innovation in AI-assisted engineering. Identify opportunities to integrate agentic AI tools into development workflows, code review, testing, and operations.
Backend & Data Pipelines: Design, development, and implementation of backend integrations using APIs (e.g., REST APIs) with a strong focus on the .NET framework (C#, ASP.NET). Design and build data ingestion and processing pipelines. Ensure backend systems are performant, observable, and well-integrated.
Architecture & Technical Leadership: Set technical direction at both the infrastructure and software design level. Mentor engineers and drive architectural standards across the organisation.
Observability & Reliability: Establish and maintain observability standards across all services. Ensure teams have the logging, metrics, tracing, and alerting they need to confidently operate and debug production systems.

Key Requirements
Eligible to work in New Zealand.
Bachelor’s Degree in Computer Science, Engineering, or a related field — or equivalent combination of education and relevant experience.
Deep, hands-on experience with AWS services, particularly SQS, Lambda, EventBridge, ECS, S3, API Gateway, and OpenSearch.
Strong expertise in Terraform, including designing and maintaining reusable module libraries and managing state at scale.
Proven experience building and maintaining CI/CD pipelines in GitHub Actions, including reusable workflow templates.
Proficiency in TypeScript, Python, and Bash scripting.
Strong experience with databases: DynamoDB, PostgreSQL, and OpenSearch.
Demonstrated ability to drive cost optimisation across cloud infrastructure.
Strong experience with Docker for containerised workloads across development, CI/CD, and production environments.
A passion for observability — experience implementing logging, metrics, tracing, and alerting to ensure production systems are transparent and debuggable.
Experience with or strong interest in AI/ML tooling and agentic workflows for developer productivity.
Exceptional problem-solving and analytical skills, capable of leading solutions for complex technical challenges.
Strong written and verbal communication skills, with the ability to convey complex technical concepts clearly.

Beneficial Skills & Experience
Experience with Kubernetes and orchestration tools such as Amazon EKS.
Familiarity with message queuing systems beyond SQS (e.g., Kafka, RabbitMQ).
Experience with Google Cloud Platform (GCP) services alongside AWS.
Knowledge of data engineering tools and practices (e.g., BigQuery, ETL/ELT pipelines).
Experience with eCommerce or payment technologies (e.g., Stripe) and email platforms (e.g., SendGrid, HubSpot).
Hands-on experience migrating infrastructure to code from manual/ClickOps setups.
Experience with observability platforms such as CloudWatch, Datadog, Grafana, or similar

I have 200 web applications running on Windows-based, on-prem servers that need to be brought under a single, cleanly managed Jenkins setup. The servers are locked down, so you will not receive direct access; instead, you will deliver fully documented Jenkinsfiles, shared libraries, seed jobs, and any supporting PowerShell or Groovy scripts that my internal team can drop in and run.

What I need from you
• A maintainable folder/job hierarchy that scales neatly to all 200 applications
• Parameter-driven pipelines covering build, test, package, and deploy, with blue-green or rolling strategies where appropriate
• Automated health checks, test stages, and Slack/email notifications
• Secure credential handling in a Windows on-prem environment
• Hooks or instructions for pushing build metrics to monitoring stacks such as Prometheus/Grafana

Acceptance criteria
1. Importing your artefacts into our air-gapped Jenkins instance spins up all jobs and libraries without manual edits.
2. A sample app travels end-to-end—build → test → deploy—on our Windows servers.
3. Clear documentation lets my admins replicate the setup for the remaining apps in under ten minutes each.

Please send a detailed project proposal that outlines architecture, milestones, and timeline, and include examples of similar large-scale Jenkins work you have delivered.

Skills: Python, Testing / QA, Software Testing, Test Automation, Scripting, Jenkins, Continuous Integration, DevOps, Automation, CI/CD

Job Description: Alteryx Designer & Server Administrator (L2 Support)
Role: Alteryx Platform Administrator – L2 Support
Experience: 5+ years on Alteryx Designer | 3+ years on Alteryx Server
Function: Data & Analytics Platform Operations
Role Summary
We are seeking an experienced Alteryx Platform Administrator to own day-to-day administration, Level 2 support, and operational health of our Alteryx Designer and Alteryx Server environments. The role partners with analytics teams, infrastructure, and information security to ensure a stable, secure, and well-governed self-service analytics platform.
Key Responsibilities
Platform Administration

Administer Alteryx Server across Dev, UAT, and Production environments — including installation, upgrades, patching, node configuration, worker tuning, and gallery management.
Manage Alteryx Designer deployments, licensing, version control, and end-user provisioning.
Configure and maintain schedulers, collections, credentials, data connections, and run-as accounts.
Monitor server health, job queues, worker utilization, and MongoDB persistence layer; perform backups, restores, and DR drills.

Level 2 Support

Act as the L2 escalation point for incidents raised by L1 support and business users — workflow failures, performance issues, scheduler errors, gallery access, authentication, and connection problems.
Perform root-cause analysis using server logs, workflow XML inspection, and MongoDB queries; document RCAs and drive permanent fixes.
Triage and resolve workflow performance bottlenecks, memory issues, and tool-level failures (In-DB, Predictive, API, Python/R tools).
Manage incident, problem, and change tickets through the ITSM tool within agreed SLAs.

Governance, Security & Compliance

Implement and enforce role-based access control, data source governance, and credential management aligned to enterprise security frameworks.
Support audits and compliance reviews (SOX, GDPR, internal controls); maintain evidence for access reviews, change management, and data lineage.
Partner with InfoSec on vulnerability remediation, certificate management, SSO/SAML integration, and hardening.
Contribute to data governance practices — workflow standards, naming conventions, promotion processes, and gallery hygiene.

Continuous Improvement

Build monitoring, alerting, and usage dashboards for the platform.
Author and maintain runbooks, SOPs, and knowledge base articles.
Mentor L1 support and end-users; conduct enablement sessions on best practices.

Required Qualifications

5+ years of hands-on experience with Alteryx Designer (including In-DB, macros, analytic apps, and API/automation tools).
3+ years of hands-on Alteryx Server administration in an enterprise environment.
Proven track record in L2 support — incident management, RCA, and SLA-driven delivery.
Strong SQL skills and experience with at least one major RDBMS (SQL Server, Oracle, Snowflake, Teradata, etc.).
Working knowledge of Windows Server, IIS, MongoDB, and basic networking (firewalls, ports, DNS, SSL/TLS).
Solid understanding of data governance principles, security frameworks (e.g., ISO 27001, NIST), and compliance standards (SOX, GDPR, HIPAA as applicable).
Strong analytical, troubleshooting, and problem-solving skills with the ability to work under pressure.
Excellent written and verbal communication; ability to engage technical and business stakeholders.

Preferred Qualifications

Alteryx Designer Core / Advanced / Server Admin certifications.
Experience with Alteryx Server on AWS/Azure, load-balanced multi-node setups, and HA/DR configurations.
Exposure to scripting (PowerShell, Python) for automation and monitoring.
Familiarity with ITSM tools (ServiceNow, Jira) and observability tools (Splunk, Grafana, Dynatrace).
Experience integrating Alteryx with Tableau, Power BI, Snowflake, or cloud data lakes.

Soft Skills

Ownership mindset and bias for action.
Comfortable working in a follow-the-sun or shift-based support model.
Strong documentation discipline and stakeholder management.

Bid Proposal: AI-Driven Troubleshooting and Efficiency Enhancement

Objective

To design and implement AI-assisted solutions using existing enterprise tools to reduce troubleshooting time, improve system visibility, and automate repetitive operational tasks.

---

Scope of Work

The following solutions are proposed for implementation:

1. AI-Powered Log Analysis Assistant

- Integrate Splunk with Copilot or FAB AI
- Automatically analyze logs and suggest potential root causes
- Provide concise, actionable insights for faster debugging

---

2. Intelligent Incident Summary Generator

- Aggregate data from Splunk, Glowroot, Jira, and Salesforce
- Generate structured summaries for incidents
- Share summaries via Outlook or Microsoft Teams

---

3. Unified Monitoring Dashboard

- Combine data from Grafana, SolarWinds, and SQL Server
- Provide a centralized view of system health and performance
- Highlight anomalies and trends for proactive monitoring

---

4. Microsoft Teams Troubleshooting Assistant

- Develop a Teams-based bot for quick access to system data
- Retrieve logs, traces, and ticket details on demand
- Provide AI-driven troubleshooting suggestions

---

5. AI-Based Knowledge Repository

- Convert historical Jira tickets and Salesforce cases into a searchable knowledge base
- Enable faster issue resolution using past solutions
- Improve knowledge sharing across teams

---

Approach and Timeline

Phase 1 (2–3 weeks):

- Develop prototypes for log analysis and incident summarization
- Create initial monitoring dashboard

Phase 2 (3–5 weeks):

- Build Teams troubleshooting assistant
- Implement knowledge repository

Phase 3 (Ongoing):

- Enhance solutions with predictive insights and automation

---

Expected Outcomes

- Reduction in troubleshooting time by 25–40 percent
- Faster incident resolution and improved SLA adherence
- Improved visibility across systems
- Increased efficiency through automation
- Better knowledge reuse and reduced dependency on individuals

---

Deliverables

- Functional prototypes and tools
- Documentation and user guidelines
- Demonstration sessions
- Periodic reports on impact and improvements

---

Dependencies

- Access to required tools and data sources (Splunk, Grafana, Jira, Salesforce, SQL Server)
- Coordination with relevant teams for integration
- Approval for use of AI tools such as Copilot and FAB AI

---

Request

Approval is requested to proceed with Phase 1 implementation and demonstrate initial results within a short timeframe.

---

Skills: Java, Script Install, Troubleshooting, Splunk, Data Analysis, Automation, API Development, Predictive Analytics, AI Chatbot Development, AI Development

We're looking for a reliable Operations Engineer to keep our system healthy around the clock — watching dashboards, responding to alerts, doing initial triage, and escalating issues when needed. As a secondary responsibility, you'll help with basic QA tasks: running automated tests, validating production, and reporting failures. This is not a heavy development or QA role — it's about being attentive, structured, and calm under pressure.


WHAT YOU'LL DO — MONITORING & INCIDENTS (primary)

- Watch system health dashboards and metrics throughout the day
- Respond to alerts promptly — acknowledge, investigate, and act or escalate
- Perform initial troubleshooting: check logs, identify root causes, apply known fixes
- Document incidents clearly — what happened, what was done, outcome
- Communicate status updates to the team in a timely and structured way
- Flag recurring issues and suggest improvements to reduce alert noise


WHAT YOU'LL DO — QA SUPPORT (secondary)

- Run automated test suites on schedule and after deployments
- Test key API endpoints via Postman or similar tools and validate responses
- Manually verify that key flows work correctly on production after releases
- Write clear failure reports and escalate confirmed bugs with enough context to act on


REQUIREMENTS

- 2+ years of experience in DevOps, SRE, NOC, or operations roles
- Comfortable working with monitoring and alerting tools (Grafana, Datadog, CloudWatch, or similar)
- Ability to read logs, identify anomalies, and perform basic Linux/infrastructure troubleshooting
- Some hands-on experience with Postman or similar API tools
- Comfortable doing manual smoke checks on production systems
- Clear written English for incident reports and team updates
- Calm, systematic approach when something breaks


NICE TO HAVE

- Experience with on-call workflows and runbooks
- Familiarity with test frameworks (pytest, Jest, Cypress, or similar)
- Familiarity with CI/CD pipelines (GitHub Actions, GitLab CI, or similar)
- Basic scripting skills (Bash, Python) for quick fixes or automation
- Familiarity with Docker or containerized environments